ASSIMILATION OF SMAP BASED DISAGGREGATED SOIL MOISTURE FOR IMPROVING SOIL EVAPORATION ESTIMATES BY FAO-2Kc MODEL
(2021) 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 p.6568-6571- Abstract
Food and Agriculture Organization (FAO) dual crop coefficient (FAO-2Kc) is one of the widely used formulation to estimate soil evaporation (E) due to its operationality and simplicity. The FAO-2Kc method could explicitly distinguish the contribution of E and plant transpiration, separately. However, systematic and random uncertainty in E observations still exist. In this vein, this paper attempts to improve FAO-2Kc evapotranspiration estimates through assimilating SMAP-based disaggregated soil moisture (SM) into FAO-2Kc E component via the soil evaporation coefficient. Sequential data assimilation methods (Kalman filter) was used for this purpose, where E is strongly linked to SM especially under arid atmospheric conditions where energy... (More)
Food and Agriculture Organization (FAO) dual crop coefficient (FAO-2Kc) is one of the widely used formulation to estimate soil evaporation (E) due to its operationality and simplicity. The FAO-2Kc method could explicitly distinguish the contribution of E and plant transpiration, separately. However, systematic and random uncertainty in E observations still exist. In this vein, this paper attempts to improve FAO-2Kc evapotranspiration estimates through assimilating SMAP-based disaggregated soil moisture (SM) into FAO-2Kc E component via the soil evaporation coefficient. Sequential data assimilation methods (Kalman filter) was used for this purpose, where E is strongly linked to SM especially under arid atmospheric conditions where energy is not the limited factor. The proposed approach is applied over a semi-arid site in central Morocco. Results revealed that the assimilation approach provides better results in term of evapotranspiration by decreasing the root mean square error from 0.98 mm/day to 0.75 mm/day compared to the standard FAO-2Kc.
(Less)
- author
- Amazirh, Abdelhakim ; Chehbouni, Abdelghani ; Merlin, Olivier ; Bouras, Elhoussaine LU and Er-Raki, Salah
- publishing date
- 2021
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- Data assimilation, FAO-2Kc, SMAP, Soil evaporation, Soil moisture
- pages
- 4 pages
- conference name
- 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
- conference location
- Brussels, Belgium
- conference dates
- 2021-07-12 - 2021-07-16
- external identifiers
-
- scopus:85130061260
- DOI
- 10.1109/IGARSS47720.2021.9554432
- language
- English
- LU publication?
- no
- additional info
- Funding Information: This study was conducted within the Center of remote sensing application, at the Mohammed VI university-Morocco and funded by OCP (AS No 71). The in situ data set was provided by the Joint International Laboratory TREMA (https://www.lmi-trema.ma/). The MIT-OCP-CRSA “African data portal geospatial frameworks for science, capacity-building and decision-making purposes” project. RISE-H2020-ACCWA. PRIMA-IDEWA, and PRIMA-ALTOS is also acknowledged. Publisher Copyright: © 2021 IEEE
- id
- 1d2f8404-b994-4abb-8837-0b11231b2d0d
- date added to LUP
- 2023-01-04 09:45:00
- date last changed
- 2023-01-20 16:41:54
@misc{1d2f8404-b994-4abb-8837-0b11231b2d0d, abstract = {{<p>Food and Agriculture Organization (FAO) dual crop coefficient (FAO-2Kc) is one of the widely used formulation to estimate soil evaporation (E) due to its operationality and simplicity. The FAO-2Kc method could explicitly distinguish the contribution of E and plant transpiration, separately. However, systematic and random uncertainty in E observations still exist. In this vein, this paper attempts to improve FAO-2Kc evapotranspiration estimates through assimilating SMAP-based disaggregated soil moisture (SM) into FAO-2Kc E component via the soil evaporation coefficient. Sequential data assimilation methods (Kalman filter) was used for this purpose, where E is strongly linked to SM especially under arid atmospheric conditions where energy is not the limited factor. The proposed approach is applied over a semi-arid site in central Morocco. Results revealed that the assimilation approach provides better results in term of evapotranspiration by decreasing the root mean square error from 0.98 mm/day to 0.75 mm/day compared to the standard FAO-2Kc.</p>}}, author = {{Amazirh, Abdelhakim and Chehbouni, Abdelghani and Merlin, Olivier and Bouras, Elhoussaine and Er-Raki, Salah}}, keywords = {{Data assimilation; FAO-2Kc; SMAP; Soil evaporation; Soil moisture}}, language = {{eng}}, pages = {{6568--6571}}, title = {{ASSIMILATION OF SMAP BASED DISAGGREGATED SOIL MOISTURE FOR IMPROVING SOIL EVAPORATION ESTIMATES BY FAO-2Kc MODEL}}, url = {{http://dx.doi.org/10.1109/IGARSS47720.2021.9554432}}, doi = {{10.1109/IGARSS47720.2021.9554432}}, year = {{2021}}, }